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Uncertainty modelling in data science

Author: Sébastien Destercke; Thierry Denoeux; María Á Gil; Przemysłav Grzegorzewski; Olgierd Hryniewicz
Publisher: Cham, Switzerland : Springer, [2019] ©2019
Series: Advances in intelligent systems and computing, 832.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
This book features 29 peer-reviewed papers presented at the 9th International Conference on Soft Methods in Probability and Statistics (SMPS 2018), which was held in conjunction with the 5th International Conference on Belief Functions (BELIEF 2018) in Compiègne, France on September 17-21, 2018. It includes foundational, methodological and applied contributions on topics as varied as imprecise data handling,  Read more...
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Genre/Form: Electronic books
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Sébastien Destercke; Thierry Denoeux; María Á Gil; Przemysłav Grzegorzewski; Olgierd Hryniewicz
ISBN: 9783319975474 3319975471
OCLC Number: 1046085042
Description: 1 online resource.
Contents: Imprecise Statistical Inference for Accelerated Life Testing Data: Imprecision Related to Log-Rank Test --
Descriptive Comparison of the Rating Scales Through Different Scale Estimates: Simulation-Based Analysis --
Central Moments of a Fuzzy Random Variable Using the Signed Distance: A Look Towards the Variance --
On Missing Membership Degrees: Modelling Non-existence, Ignorance and Inconsistency --
Characterization of Conditional Submodular Capacities: Coherence and Extension --
Some Partial Order Relations on a Set of Random Variables --
A Desirability-Based Axiomatisation for Coherent Choice Functions --
Cycle-Free Cuts of the Reciprocal Relation Generated by Random Variables that are Pairwisely Coupled by a Frank Copula --
Density Estimation with Imprecise Kernels: Application to Classification --
Z-numbers as Generalized Probability Boxes --
Computing Inferences for Large-Scale Continuous-Time Markov Chains by Combining Lumping with Imprecision --
Robust Fuzzy Relational Clustering of Non-linear Data --
Measures of Dispersion for Interval Data --
A Maximum Likelihood Approach to Inference Under Coarse Data Based on Minimax Regret --
Monitoring of Time Series Using Fuzzy Weighted Prediction Models --
Control Charts Designed Using Model Averaging Approach for Phase Change Detection in Bipolar Disorder --
An Imprecise Probabilistic Estimator for the Transition Rate Matrix of a Continuous-Time Markov Chain --
Imprecise Probability Inference on Masked Multicomponent System --
Regression Ensemble with Linguistic Descriptions --
Dynamic Classifier Selection Based on Imprecise Probabilities: A Case Study for the Naive Bayes Classifier --
Case Study-Based Sensitivity Analysis of Scale Estimates w.r.t. the Shape of Fuzzy Data --
Compatibility, Coherence and the RIP --
Estimation of Classification Probabilities in Small Domains Accounting for Nonresponse Relying on Imprecise Probability --
Beyond Doss and Fréchet Expectation Sets --
Empirical Comparison of the Performance of Location Estimates of Fuzzy Number-Valued Data --
Continuity of the Shafer-Vovk-Ville Operator --
Choquet Theorem for Random Sets in Polish Spaces and Beyond --
Generalising the Pari-Mutuel Model --
A Net Premium Model for Life Insurance Under a Sort of Generalized Uncertain Interest Rates.
Series Title: Advances in intelligent systems and computing, 832.
Responsibility: Sébastien Destercke, Thierry Denoeux, María Ángeles Gil, Przemyslaw Grzegorzewski, Olgierd Hryniewicz, editors.

Abstract:

Indeed, an important aspect of some of the learned predictive models is the trust placed in them. Modelling the uncertainty associated with the data and the models carefully and with principled  Read more...

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